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Get price alert

get_price_alert
Read-onlyIdempotent

Get one price alert by alert_id. Requires a Pricewatcha API key (pwk_live_...) from https://pricewatcha.com/en/developers#api-keys. On failure, returns a structured error object with fields error.code, error.message, error.http_status, error.retry_recommended, and error.retry_after_seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesPricewatcha API key (pwk_live_...)
alert_idYesAlert ID from create_price_alert or list_price_alerts

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
alert_idYes
currencyYes
is_activeYes
created_atYes
product_idYes
updated_atYes
webhook_urlNo
notify_emailYes
notify_on_dropYes
notify_on_riseYes
last_triggered_atNo
max_threshold_priceNo
min_threshold_priceNo

TDQS

A4.1/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds behavioral detail beyond the annotations by documenting the structured error object that is returned on failure, including fields for error codes, HTTP status, and retry recommendations. This is genuinely helpful information for agents handling failures, and there is no contradiction with the annotation-driven hints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is immediately front-loaded with the tool's core purpose, then provides the required key and failure contract in two sentences without redundancy. Every clause contributes useful information, and there is no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity, full schema coverage, and presence of an output schema, the description supplies the important pieces that are not present elsewhere: the API key requirements and the detailed error response structure. An AI agent does not have to guess about the failure mode or required keys.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the input schema already explains both api_key and alert_id completely, including alert_id provenance from create_price_alert or list_price_alerts. The description does not add meaningful parameter-level information beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Get one price alert'), a specific resource ('price alert'), and the exact identifying parameter ('alert_id'). The word 'one' implicitly distinguishing from list_price_alerts and the clarity of scope make it a clear, purpose-defining statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives us context: you need an API key and an alert_id, so usage is implicitly scoped to retrieving a single alert by ID. However, no explicit guidance is given about when to prefer this vs alternatives like list_price_alerts to get multiple alerts or get an ID for this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.2/5.0
Disambiguation5/5

Each tool clearly maps to a distinct resource and action: price alert CRUD verbs (create/get/list/update/delete) are unambiguous, and get_api_status vs get_job_status are separated by scope (service health vs async job polling). track_product, search_products, get_product, and get_price_history each address a different part of the product workflow with no meaningful overlap.

Naming Consistency5/5

All 11 tools follow a consistent verb_noun snake_case pattern: create_price_alert, get_price_history, track_product, list_price_alerts, and so on. Verbs are precise and nouns are stable across the set, making the API surface predictable.

Tool Count5/5

At 11 tools, the server is well-scoped for its purpose: alert management, product search, price history, tracking, and status checks each earn their place. No tool feels redundant or excessive for a price-intelligence domain.

Completeness4/5

The price alert lifecycle is fully covered with create/get/list/update/delete, and product search/tracking/history are solid. A minor gap is the lack of a way to list or stop all tracked products/jobs besides polling a known job_id, but this can be worked around and core workflows are complete.